Overview

Dataset statistics

Number of variables31
Number of observations2107
Missing cells0
Missing cells (%)0.0%
Duplicate rows10
Duplicate rows (%)0.5%
Total size in memory510.4 KiB
Average record size in memory248.1 B

Variable types

Numeric29
Categorical2

Alerts

Dataset has 10 (0.5%) duplicate rowsDuplicates
longitude is highly correlated with latitude and 27 other fieldsHigh correlation
zipcode is highly correlated with latitude and 27 other fieldsHigh correlation
zcta_housing_2020 is highly correlated with latitude and 27 other fieldsHigh correlation
total_units_2020 is highly correlated with latitude and 27 other fieldsHigh correlation
occupied_units_2020 is highly correlated with latitude and 27 other fieldsHigh correlation
vacant_units_2020 is highly correlated with latitude and 27 other fieldsHigh correlation
median_rooms_2020 is highly correlated with latitude and 27 other fieldsHigh correlation
owner_occupied_units_2020 is highly correlated with latitude and 27 other fieldsHigh correlation
rental_occupied_units_2020 is highly correlated with latitude and 27 other fieldsHigh correlation
median_value_2020 is highly correlated with latitude and 27 other fieldsHigh correlation
median_monthly_costs_2020 is highly correlated with latitude and 27 other fieldsHigh correlation
median_rent_2020 is highly correlated with latitude and 27 other fieldsHigh correlation
five_year_diff is highly correlated with latitude and 27 other fieldsHigh correlation
total_units_2015 is highly correlated with latitude and 27 other fieldsHigh correlation
occupied_units_2015 is highly correlated with latitude and 27 other fieldsHigh correlation
vacant_units_2015 is highly correlated with latitude and 27 other fieldsHigh correlation
median_rooms_2015 is highly correlated with latitude and 27 other fieldsHigh correlation
owner_occupied_units_2015 is highly correlated with latitude and 27 other fieldsHigh correlation
rental_occupied_units_2015 is highly correlated with latitude and 27 other fieldsHigh correlation
median_value_2015 is highly correlated with latitude and 27 other fieldsHigh correlation
median_monthly_costs_2015 is highly correlated with latitude and 27 other fieldsHigh correlation
median_rent_2015 is highly correlated with latitude and 27 other fieldsHigh correlation
median_household_income_2020 is highly correlated with latitude and 27 other fieldsHigh correlation
median_family_income_2020 is highly correlated with latitude and 27 other fieldsHigh correlation
median_household_income_2015 is highly correlated with latitude and 27 other fieldsHigh correlation
median_family_income_2015 is highly correlated with latitude and 27 other fieldsHigh correlation
zipcount is highly correlated with latitude and 27 other fieldsHigh correlation
class is highly correlated with latitude and 27 other fieldsHigh correlation
latitude is highly correlated with longitude and 27 other fieldsHigh correlation
room_type is highly correlated with priceHigh correlation
price is highly correlated with room_typeHigh correlation
median_family_income_2020 has 23 (1.1%) zeros Zeros

Reproduction

Analysis started2022-11-11 00:36:20.433174
Analysis finished2022-11-11 00:38:47.457210
Duration2 minutes and 27.02 seconds
Software versionpandas-profiling v3.4.0
Download configurationconfig.json

Variables

latitude
Real number (ℝ≥0)

HIGH CORRELATION

Distinct1911
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.98753769
Minimum39.8405
Maximum40.15379
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:47.567135image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum39.8405
5-th percentile39.936418
Q139.957145
median39.98186
Q340.00803
95-th percentile40.087353
Maximum40.15379
Range0.31329
Interquartile range (IQR)0.050885

Descriptive statistics

Standard deviation0.04508539678
Coefficient of variation (CV)0.001127486197
Kurtosis1.444259728
Mean39.98753769
Median Absolute Deviation (MAD)0.02516
Skewness0.9382164421
Sum84253.74192
Variance0.002032693003
MonotonicityNot monotonic
2022-11-10T19:38:47.719109image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.9585658
 
0.4%
40.00701495
 
0.2%
39.9642755
 
0.2%
40.012574
 
0.2%
40.008434
 
0.2%
40.021464
 
0.2%
40.0090564
 
0.2%
39.974674
 
0.2%
39.9746673
 
0.1%
39.957913
 
0.1%
Other values (1901)2063
97.9%
ValueCountFrequency (%)
39.84051
< 0.1%
39.842771
< 0.1%
39.853841
< 0.1%
39.861211
< 0.1%
39.865411
< 0.1%
39.865541
< 0.1%
39.866851
< 0.1%
39.866911
< 0.1%
39.867041
< 0.1%
39.869481
< 0.1%
ValueCountFrequency (%)
40.153791
< 0.1%
40.153651
< 0.1%
40.152941
< 0.1%
40.152341
< 0.1%
40.15221
< 0.1%
40.1471
< 0.1%
40.142851
< 0.1%
40.13421
< 0.1%
40.133851
< 0.1%
40.13081
< 0.1%

longitude
Real number (ℝ)

HIGH CORRELATION

Distinct1859
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-82.98995655
Minimum-83.17506
Maximum-82.78152
Zeros0
Zeros (%)0.0%
Negative2107
Negative (%)100.0%
Memory size16.6 KiB
2022-11-10T19:38:47.877572image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-83.17506
5-th percentile-83.064168
Q1-83.00934
median-82.99846
Q3-82.971905
95-th percentile-82.900562
Maximum-82.78152
Range0.39354
Interquartile range (IQR)0.037435

Descriptive statistics

Standard deviation0.0494250146
Coefficient of variation (CV)-0.0005955541689
Kurtosis3.873942062
Mean-82.98995655
Median Absolute Deviation (MAD)0.01609
Skewness0.6177291264
Sum-174859.8385
Variance0.002442832069
MonotonicityNot monotonic
2022-11-10T19:38:48.041401image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-83.0149468
 
0.4%
-82.997786
 
0.3%
-83.003476
 
0.3%
-82.988395
 
0.2%
-83.00152535
 
0.2%
-83.0008244
 
0.2%
-82.999054
 
0.2%
-83.001594
 
0.2%
-82.998494
 
0.2%
-83.004124
 
0.2%
Other values (1849)2057
97.6%
ValueCountFrequency (%)
-83.175061
< 0.1%
-83.174241
< 0.1%
-83.173371
< 0.1%
-83.17221
< 0.1%
-83.165871
< 0.1%
-83.165441
< 0.1%
-83.160971
< 0.1%
-83.157471
< 0.1%
-83.157171
< 0.1%
-83.156333921
< 0.1%
ValueCountFrequency (%)
-82.781521
< 0.1%
-82.782481
< 0.1%
-82.783371
< 0.1%
-82.783421
< 0.1%
-82.789891
< 0.1%
-82.794121
< 0.1%
-82.796131
< 0.1%
-82.797591
< 0.1%
-82.804571
< 0.1%
-82.805341
< 0.1%

room_type
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
1
1699 
0
408 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2107
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
11699
80.6%
0408
 
19.4%

Length

2022-11-10T19:38:48.194500image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-11-10T19:38:48.335466image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
ValueCountFrequency (%)
11699
80.6%
0408
 
19.4%

Most occurring characters

ValueCountFrequency (%)
11699
80.6%
0408
 
19.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number2107
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
11699
80.6%
0408
 
19.4%

Most occurring scripts

ValueCountFrequency (%)
Common2107
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
11699
80.6%
0408
 
19.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII2107
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11699
80.6%
0408
 
19.4%

price
Real number (ℝ≥0)

HIGH CORRELATION

Distinct390
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.967252
Minimum19
Maximum1268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:48.457990image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile43.3
Q186.5
median124
Q3182
95-th percentile367.5
Maximum1268
Range1249
Interquartile range (IQR)95.5

Descriptive statistics

Standard deviation122.932711
Coefficient of variation (CV)0.7932818672
Kurtosis17.48341625
Mean154.967252
Median Absolute Deviation (MAD)45
Skewness3.380053862
Sum326516
Variance15112.45144
MonotonicityNot monotonic
2022-11-10T19:38:48.609816image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10035
 
1.7%
9930
 
1.4%
9028
 
1.3%
7526
 
1.2%
8523
 
1.1%
4023
 
1.1%
14920
 
0.9%
11520
 
0.9%
8320
 
0.9%
12919
 
0.9%
Other values (380)1863
88.4%
ValueCountFrequency (%)
191
 
< 0.1%
211
 
< 0.1%
252
 
0.1%
273
 
0.1%
282
 
0.1%
292
 
0.1%
3010
0.5%
323
 
0.1%
331
 
< 0.1%
343
 
0.1%
ValueCountFrequency (%)
12681
< 0.1%
10992
0.1%
10151
< 0.1%
10071
< 0.1%
10002
0.1%
9991
< 0.1%
9801
< 0.1%
9751
< 0.1%
8501
< 0.1%
8361
< 0.1%

zipcode
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43197.71856
Minimum43002
Maximum43235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:48.752442image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum43002
5-th percentile43085
Q143201
median43205
Q343214
95-th percentile43229
Maximum43235
Range233
Interquartile range (IQR)13

Descriptive statistics

Standard deviation39.87198237
Coefficient of variation (CV)0.0009230113002
Kurtosis10.31738029
Mean43197.71856
Median Absolute Deviation (MAD)4
Skewness-3.279724055
Sum91017593
Variance1589.774978
MonotonicityNot monotonic
2022-11-10T19:38:48.906507image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
43201434
20.6%
43215245
11.6%
43206243
11.5%
43205203
 
9.6%
43202174
 
8.3%
4320379
 
3.7%
4321261
 
2.9%
4321459
 
2.8%
4320748
 
2.3%
4321147
 
2.2%
Other values (34)514
24.4%
ValueCountFrequency (%)
430022
 
0.1%
430047
 
0.3%
4301613
 
0.6%
4301711
 
0.5%
430269
 
0.4%
430356
 
0.3%
4305410
 
0.5%
430654
 
0.2%
4306810
 
0.5%
4308133
1.6%
ValueCountFrequency (%)
4323518
0.9%
432328
 
0.4%
432318
 
0.4%
4323037
1.8%
4322940
1.9%
432285
 
0.2%
4322710
 
0.5%
4322416
 
0.8%
4322315
 
0.7%
4322220
0.9%

zcta_housing_2020
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43197.71856
Minimum43002
Maximum43235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:49.047259image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum43002
5-th percentile43085
Q143201
median43205
Q343214
95-th percentile43229
Maximum43235
Range233
Interquartile range (IQR)13

Descriptive statistics

Standard deviation39.87198237
Coefficient of variation (CV)0.0009230113002
Kurtosis10.31738029
Mean43197.71856
Median Absolute Deviation (MAD)4
Skewness-3.279724055
Sum91017593
Variance1589.774978
MonotonicityNot monotonic
2022-11-10T19:38:49.197379image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
43201434
20.6%
43215245
11.6%
43206243
11.5%
43205203
 
9.6%
43202174
 
8.3%
4320379
 
3.7%
4321261
 
2.9%
4321459
 
2.8%
4320748
 
2.3%
4321147
 
2.2%
Other values (34)514
24.4%
ValueCountFrequency (%)
430022
 
0.1%
430047
 
0.3%
4301613
 
0.6%
4301711
 
0.5%
430269
 
0.4%
430356
 
0.3%
4305410
 
0.5%
430654
 
0.2%
4306810
 
0.5%
4308133
1.6%
ValueCountFrequency (%)
4323518
0.9%
432328
 
0.4%
432318
 
0.4%
4323037
1.8%
4322940
1.9%
432285
 
0.2%
4322710
 
0.5%
4322416
 
0.8%
4322315
 
0.7%
4322220
0.9%

total_units_2020
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12946.47224
Minimum84
Maximum27357
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:49.329425image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum84
5-th percentile4894
Q110276
median12274
Q315281
95-th percentile22593
Maximum27357
Range27273
Interquartile range (IQR)5005

Descriptive statistics

Standard deviation4896.779568
Coefficient of variation (CV)0.3782327323
Kurtosis1.123380735
Mean12946.47224
Median Absolute Deviation (MAD)3007
Skewness0.7194358182
Sum27278217
Variance23978450.14
MonotonicityNot monotonic
2022-11-10T19:38:49.457132image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
15281434
20.6%
10791245
11.6%
12274243
11.5%
7366203
 
9.6%
9725174
 
8.3%
489479
 
3.7%
1248561
 
2.9%
1380659
 
2.8%
2079948
 
2.3%
1029647
 
2.2%
Other values (34)514
24.4%
ValueCountFrequency (%)
843
 
0.1%
40210
 
0.5%
21232
 
0.1%
224920
 
0.9%
489479
 
3.7%
61043
 
0.1%
7366203
9.6%
87438
 
0.4%
95086
 
0.3%
9725174
8.3%
ValueCountFrequency (%)
2735733
1.6%
2640915
 
0.7%
2548437
1.8%
246699
 
0.4%
238535
 
0.2%
2259340
1.9%
2247410
 
0.5%
2079948
2.3%
195888
 
0.4%
1951218
 
0.9%

occupied_units_2020
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11428.2131
Minimum0
Maximum25850
Zeros7
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:49.590600image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3758
Q18889
median10435
Q313106
95-th percentile21424
Maximum25850
Range25850
Interquartile range (IQR)4217

Descriptive statistics

Standard deviation4849.232719
Coefficient of variation (CV)0.424321167
Kurtosis1.460319816
Mean11428.2131
Median Absolute Deviation (MAD)2671
Skewness0.8524180702
Sum24079245
Variance23515057.96
MonotonicityNot monotonic
2022-11-10T19:38:49.738125image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
13106434
20.6%
9609245
11.6%
10435243
11.5%
5510203
 
9.6%
8889174
 
8.3%
375879
 
3.7%
1171261
 
2.9%
1268259
 
2.8%
1865648
 
2.3%
871447
 
2.2%
Other values (34)514
24.4%
ValueCountFrequency (%)
07
 
0.3%
843
 
0.1%
19210
 
0.5%
195620
 
0.9%
21112
 
0.1%
375879
 
3.7%
5510203
9.6%
59483
 
0.1%
82438
 
0.4%
871447
 
2.2%
ValueCountFrequency (%)
2585033
1.6%
2543215
 
0.7%
2454637
1.8%
241669
 
0.4%
221885
 
0.2%
2142410
 
0.5%
2134340
1.9%
1865648
2.3%
1850518
 
0.9%
183298
 
0.4%

vacant_units_2020
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1465.820598
Minimum0
Maximum2175
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:49.879711image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile503
Q11040
median1365
Q31856
95-th percentile2175
Maximum2175
Range2175
Interquartile range (IQR)816

Descriptive statistics

Standard deviation556.9402556
Coefficient of variation (CV)0.379951173
Kurtosis-1.079396725
Mean1465.820598
Median Absolute Deviation (MAD)491
Skewness-0.2193887858
Sum3088484
Variance310182.4483
MonotonicityNot monotonic
2022-11-10T19:38:50.017087image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2175434
20.6%
1182245
11.6%
1839243
11.5%
1856203
 
9.6%
836174
 
8.3%
113679
 
3.7%
77361
 
2.9%
112459
 
2.8%
214348
 
2.3%
158247
 
2.2%
Other values (34)514
24.4%
ValueCountFrequency (%)
03
 
0.1%
122
 
0.1%
1563
 
0.1%
21010
0.5%
2447
 
0.3%
2586
 
0.3%
29320
0.9%
39924
1.1%
4146
 
0.3%
4514
 
0.2%
ValueCountFrequency (%)
2175434
20.6%
214348
 
2.3%
196617
 
0.8%
1856203
9.6%
1839243
11.5%
16655
 
0.2%
158247
 
2.2%
150733
 
1.6%
149015
 
0.7%
136516
 
0.8%

median_rooms_2020
Real number (ℝ≥0)

HIGH CORRELATION

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.938300902
Minimum2.8
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:50.137577image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.3
Q14.4
median5.2
Q35.4
95-th percentile6.1
Maximum8
Range5.2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8417182482
Coefficient of variation (CV)0.1704469341
Kurtosis0.4907068233
Mean4.938300902
Median Absolute Deviation (MAD)0.4
Skewness-0.2921304106
Sum10405
Variance0.7084896093
MonotonicityNot monotonic
2022-11-10T19:38:50.242719image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4.4495
23.5%
5.4321
15.2%
5.6262
12.4%
3.3245
11.6%
5.2183
 
8.7%
4.9179
 
8.5%
576
 
3.6%
5.872
 
3.4%
5.349
 
2.3%
5.933
 
1.6%
Other values (13)192
 
9.1%
ValueCountFrequency (%)
2.810
 
0.5%
3.3245
11.6%
4.4495
23.5%
4.828
 
1.3%
4.9179
 
8.5%
576
 
3.6%
5.2183
 
8.7%
5.349
 
2.3%
5.4321
15.2%
5.525
 
1.2%
ValueCountFrequency (%)
84
 
0.2%
7.75
 
0.2%
7.66
 
0.3%
7.111
 
0.5%
6.610
 
0.5%
6.424
1.1%
6.322
1.0%
6.222
1.0%
6.115
0.7%
5.933
1.6%

owner_occupied_units_2020
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4502.81253
Minimum0
Maximum18881
Zeros10
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:50.382252image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1224
Q11949
median2712
Q35158
95-th percentile12422
Maximum18881
Range18881
Interquartile range (IQR)3209

Descriptive statistics

Standard deviation3718.395113
Coefficient of variation (CV)0.8257938986
Kurtosis2.793986328
Mean4502.81253
Median Absolute Deviation (MAD)821
Skewness1.74753264
Sum9487426
Variance13826462.22
MonotonicityNot monotonic
2022-11-10T19:38:50.531004image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2215434
20.6%
1891245
11.6%
5060243
11.5%
1949203
 
9.6%
2712174
 
8.3%
122479
 
3.7%
395061
 
2.9%
809759
 
2.8%
1143548
 
2.3%
346447
 
2.2%
Other values (34)514
24.4%
ValueCountFrequency (%)
010
 
0.5%
403
 
0.1%
40120
 
0.9%
122479
 
3.7%
13982
 
0.1%
1891245
11.6%
1949203
9.6%
2215434
20.6%
2712174
8.3%
33093
 
0.1%
ValueCountFrequency (%)
1888115
 
0.7%
168829
 
0.4%
1656533
1.6%
1485537
1.8%
135974
 
0.2%
1242210
 
0.5%
121885
 
0.2%
1143548
2.3%
107825
 
0.2%
1048711
 
0.5%

rental_occupied_units_2020
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6977.839108
Minimum44
Maximum12848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:50.681451image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile2534
Q15205
median6321
Q39285
95-th percentile10891
Maximum12848
Range12804
Interquartile range (IQR)4080

Descriptive statistics

Standard deviation2878.53187
Coefficient of variation (CV)0.4125248269
Kurtosis-0.9250081699
Mean6977.839108
Median Absolute Deviation (MAD)1826
Skewness0.09197198892
Sum14702307
Variance8285945.729
MonotonicityNot monotonic
2022-11-10T19:38:50.834441image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
10891434
20.6%
7718245
11.6%
5375243
11.5%
3561203
 
9.6%
6177174
 
8.3%
253479
 
3.7%
776261
 
2.9%
458559
 
2.8%
722148
 
2.3%
525047
 
2.2%
Other values (34)514
24.4%
ValueCountFrequency (%)
443
 
0.1%
19210
 
0.5%
7132
 
0.1%
13304
 
0.2%
155520
 
0.9%
17296
 
0.3%
19105
 
0.2%
20567
 
0.3%
253479
3.7%
26393
 
0.1%
ValueCountFrequency (%)
1284840
 
1.9%
114065
 
0.2%
110258
 
0.4%
10891434
20.6%
969137
 
1.8%
928533
 
1.6%
926116
 
0.8%
900210
 
0.5%
887428
 
1.3%
856917
 
0.8%

median_value_2020
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231286.3787
Minimum0
Maximum381300
Zeros10
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:50.979336image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile102700
Q1197400
median246800
Q3258900
95-th percentile329200
Maximum381300
Range381300
Interquartile range (IQR)61500

Descriptive statistics

Standard deviation74151.7919
Coefficient of variation (CV)0.3206059618
Kurtosis0.1341096949
Mean231286.3787
Median Absolute Deviation (MAD)49400
Skewness-0.3949409485
Sum487320400
Variance5498488243
MonotonicityNot monotonic
2022-11-10T19:38:51.128268image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
258900434
20.6%
324000245
11.6%
197400243
11.5%
211600203
 
9.6%
246800174
 
8.3%
18890079
 
3.7%
38130061
 
2.9%
28580059
 
2.8%
10270048
 
2.3%
5820047
 
2.2%
Other values (34)514
24.4%
ValueCountFrequency (%)
010
 
0.5%
5820047
2.2%
6830020
0.9%
8470015
 
0.7%
8630010
 
0.5%
10270048
2.3%
10320016
 
0.8%
1047008
 
0.4%
11450047
2.2%
11730017
 
0.8%
ValueCountFrequency (%)
38130061
 
2.9%
37230010
 
0.5%
37100011
 
0.5%
35550010
 
0.5%
3481004
 
0.2%
3386006
 
0.3%
32920013
 
0.6%
324000245
11.6%
30630022
 
1.0%
28580059
 
2.8%

median_monthly_costs_2020
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1598.089226
Minimum0
Maximum2461
Zeros10
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:51.277979image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1087
Q11441
median1613
Q31747
95-th percentile2139
Maximum2461
Range2461
Interquartile range (IQR)306

Descriptive statistics

Standard deviation337.2733112
Coefficient of variation (CV)0.2110478599
Kurtosis1.89806885
Mean1598.089226
Median Absolute Deviation (MAD)172
Skewness-0.5917102735
Sum3367174
Variance113753.2864
MonotonicityNot monotonic
2022-11-10T19:38:51.425117image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1747434
20.6%
1975245
11.6%
1441243
11.5%
1492203
 
9.6%
1613174
 
8.3%
114979
 
3.7%
220561
 
2.9%
173059
 
2.8%
108748
 
2.3%
79547
 
2.2%
Other values (34)514
24.4%
ValueCountFrequency (%)
010
 
0.5%
79547
2.2%
92210
 
0.5%
98316
 
0.8%
102615
 
0.7%
108748
2.3%
110217
 
0.8%
11298
 
0.4%
113528
 
1.3%
114979
3.7%
ValueCountFrequency (%)
246111
 
0.5%
241010
 
0.5%
23116
 
0.3%
228613
 
0.6%
22834
 
0.2%
220561
 
2.9%
213910
 
0.5%
205522
 
1.0%
1975245
11.6%
180018
 
0.9%

median_rent_2020
Real number (ℝ≥0)

HIGH CORRELATION

Distinct42
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1009.343617
Minimum554
Maximum1478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:51.564138image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum554
5-th percentile744
Q1908
median994
Q31094
95-th percentile1215
Maximum1478
Range924
Interquartile range (IQR)186

Descriptive statistics

Standard deviation156.5183896
Coefficient of variation (CV)0.1550694798
Kurtosis-0.2786472845
Mean1009.343617
Median Absolute Deviation (MAD)100
Skewness-0.4299600086
Sum2126687
Variance24498.00628
MonotonicityNot monotonic
2022-11-10T19:38:51.708482image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1094434
20.6%
1215245
11.6%
994243
11.5%
755203
9.6%
976174
 
8.3%
74479
 
3.7%
99866
 
3.1%
115161
 
2.9%
90848
 
2.3%
96047
 
2.2%
Other values (32)507
24.1%
ValueCountFrequency (%)
55420
 
0.9%
62310
 
0.5%
74479
 
3.7%
755203
9.6%
82716
 
0.8%
84515
 
0.7%
8648
 
0.4%
87147
 
2.2%
87228
 
1.3%
87940
 
1.9%
ValueCountFrequency (%)
14782
 
0.1%
139310
 
0.5%
13045
 
0.2%
124422
 
1.0%
124311
 
0.5%
12176
 
0.3%
1215245
11.6%
120413
 
0.6%
117818
 
0.9%
11669
 
0.4%

five_year_diff
Real number (ℝ≥0)

HIGH CORRELATION

Distinct41
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66436.30755
Minimum0
Maximum111800
Zeros10
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:51.849650image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14100
Q155200
median69300
Q3100300
95-th percentile108800
Maximum111800
Range111800
Interquartile range (IQR)45100

Descriptive statistics

Standard deviation29890.0749
Coefficient of variation (CV)0.4499057218
Kurtosis-0.6844096425
Mean66436.30755
Median Absolute Deviation (MAD)23200
Skewness-0.2260102457
Sum139981300
Variance893416577.6
MonotonicityNot monotonic
2022-11-10T19:38:51.989804image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
55200434
20.6%
69300245
11.6%
100300243
11.5%
108800203
 
9.6%
70000174
 
8.3%
10250079
 
3.7%
11180061
 
2.9%
7460059
 
2.8%
3480052
 
2.5%
1810048
 
2.3%
Other values (31)509
24.2%
ValueCountFrequency (%)
010
 
0.5%
70047
2.2%
570015
 
0.7%
600010
 
0.5%
117008
 
0.4%
1410020
0.9%
1670016
 
0.8%
1810048
2.3%
1900017
 
0.8%
2300040
1.9%
ValueCountFrequency (%)
11180061
 
2.9%
108800203
9.6%
10250079
 
3.7%
100300243
11.5%
9790010
 
0.5%
7830035
 
1.7%
7460059
 
2.8%
7410019
 
0.9%
7070010
 
0.5%
70000174
8.3%

total_units_2015
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12549.06834
Minimum40
Maximum25373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:52.126673image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile4912
Q19281
median12275
Q315115
95-th percentile22356
Maximum25373
Range25333
Interquartile range (IQR)5834

Descriptive statistics

Standard deviation4638.460403
Coefficient of variation (CV)0.3696258779
Kurtosis0.5758682795
Mean12549.06834
Median Absolute Deviation (MAD)2840
Skewness0.5208023796
Sum26440887
Variance21515314.91
MonotonicityNot monotonic
2022-11-10T19:38:52.271167image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
15115434
20.6%
9281245
11.6%
12275243
11.5%
7271203
 
9.6%
10551174
 
8.3%
491279
 
3.7%
1115661
 
2.9%
1316259
 
2.8%
2017248
 
2.3%
1052747
 
2.2%
Other values (34)514
24.4%
ValueCountFrequency (%)
403
 
0.1%
38710
 
0.5%
16592
 
0.1%
183820
 
0.9%
491279
 
3.7%
59473
 
0.1%
7271203
9.6%
86278
 
0.4%
887110
 
0.5%
90286
 
0.3%
ValueCountFrequency (%)
2537315
 
0.7%
2451533
1.6%
237525
 
0.2%
2287937
1.8%
227159
 
0.4%
2235610
 
0.5%
2224340
1.9%
202678
 
0.4%
2017248
2.3%
1925517
 
0.8%

occupied_units_2015
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10558.89938
Minimum40
Maximum23195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:52.403799image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile3429
Q18170
median9783
Q311508
95-th percentile21206
Maximum23195
Range23155
Interquartile range (IQR)3338

Descriptive statistics

Standard deviation4379.089129
Coefficient of variation (CV)0.4147296958
Kurtosis1.434273787
Mean10558.89938
Median Absolute Deviation (MAD)1725
Skewness0.8733519097
Sum22247601
Variance19176421.6
MonotonicityNot monotonic
2022-11-10T19:38:52.550119image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
11508434
20.6%
8170245
11.6%
9783243
11.5%
5205203
 
9.6%
9707174
 
8.3%
342979
 
3.7%
969361
 
2.9%
1232359
 
2.8%
1718548
 
2.3%
807947
 
2.2%
Other values (34)514
24.4%
ValueCountFrequency (%)
403
 
0.1%
27910
 
0.5%
130720
 
0.9%
15672
 
0.1%
342979
 
3.7%
5205203
9.6%
54033
 
0.1%
78128
 
0.4%
807947
 
2.2%
8170245
11.6%
ValueCountFrequency (%)
2319533
1.6%
2304415
 
0.7%
2212037
1.8%
219929
 
0.4%
212285
 
0.2%
2120610
 
0.5%
2001140
1.9%
1794118
 
0.9%
174308
 
0.4%
1718548
2.3%

vacant_units_2015
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1990.168961
Minimum0
Maximum3695
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:52.691755image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile610
Q11111
median2066
Q32524
95-th percentile3607
Maximum3695
Range3695
Interquartile range (IQR)1413

Descriptive statistics

Standard deviation1066.566256
Coefficient of variation (CV)0.5359174407
Kurtosis-1.218428439
Mean1990.168961
Median Absolute Deviation (MAD)955
Skewness0.2844942389
Sum4193286
Variance1137563.578
MonotonicityNot monotonic
2022-11-10T19:38:52.824193image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
3607434
20.6%
1111245
11.6%
2492243
11.5%
2066203
 
9.6%
844174
 
8.3%
148379
 
3.7%
146361
 
2.9%
83959
 
2.8%
298748
 
2.3%
244847
 
2.2%
Other values (34)514
24.4%
ValueCountFrequency (%)
03
 
0.1%
922
 
0.1%
10810
0.5%
2407
 
0.3%
29324
1.1%
3336
 
0.3%
40410
0.5%
42113
0.6%
4736
 
0.3%
53120
0.9%
ValueCountFrequency (%)
369517
 
0.8%
3607434
20.6%
298748
 
2.3%
28378
 
0.4%
260216
 
0.8%
25245
 
0.2%
249315
 
0.7%
2492243
11.5%
244847
 
2.2%
232915
 
0.7%

median_rooms_2015
Real number (ℝ≥0)

HIGH CORRELATION

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.036260085
Minimum3.2
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:52.957081image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile3.3
Q14.6
median5.1
Q35.7
95-th percentile6.1
Maximum8
Range4.8
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation0.8454418675
Coefficient of variation (CV)0.1678709704
Kurtosis0.6203784297
Mean5.036260085
Median Absolute Deviation (MAD)0.5
Skewness-0.4224806546
Sum10611.4
Variance0.7147719513
MonotonicityNot monotonic
2022-11-10T19:38:53.083832image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
4.6434
20.6%
5.7271
12.9%
5.1261
12.4%
5.5260
12.3%
3.3245
11.6%
5.3136
 
6.5%
5103
 
4.9%
5.872
 
3.4%
4.561
 
2.9%
6.152
 
2.5%
Other values (15)212
10.1%
ValueCountFrequency (%)
3.210
 
0.5%
3.3245
11.6%
4.561
 
2.9%
4.6434
20.6%
4.828
 
1.3%
4.95
 
0.2%
5103
 
4.9%
5.1261
12.4%
5.212
 
0.6%
5.3136
 
6.5%
ValueCountFrequency (%)
84
 
0.2%
7.55
 
0.2%
7.411
 
0.5%
7.36
 
0.3%
6.910
 
0.5%
6.622
1.0%
6.424
1.1%
6.23
 
0.1%
6.152
2.5%
615
 
0.7%

owner_occupied_units_2015
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4212.401993
Minimum0
Maximum16441
Zeros10
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:53.213706image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile822
Q11791
median3205
Q34688
95-th percentile11971
Maximum16441
Range16441
Interquartile range (IQR)2897

Descriptive statistics

Standard deviation3413.937748
Coefficient of variation (CV)0.8104491815
Kurtosis2.409681223
Mean4212.401993
Median Absolute Deviation (MAD)1414
Skewness1.66096457
Sum8875531
Variance11654970.95
MonotonicityNot monotonic
2022-11-10T19:38:53.344666image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2080434
20.6%
1728245
11.6%
4491243
11.5%
1791203
 
9.6%
3205174
 
8.3%
82279
 
3.7%
374961
 
2.9%
787859
 
2.8%
993348
 
2.3%
302247
 
2.2%
Other values (34)514
24.4%
ValueCountFrequency (%)
010
 
0.5%
273
 
0.1%
44220
 
0.9%
82279
 
3.7%
13782
 
0.1%
1728245
11.6%
1791203
9.6%
2080434
20.6%
302247
 
2.2%
3205174
8.3%
ValueCountFrequency (%)
1644115
 
0.7%
160309
 
0.4%
1450433
1.6%
1449637
1.8%
124584
 
0.2%
1197110
 
0.5%
113565
 
0.2%
1031511
 
0.5%
993348
2.3%
965922
1.0%

rental_occupied_units_2015
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6346.49739
Minimum13
Maximum12043
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:53.481623image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile2607
Q15039
median6442
Q38691
95-th percentile9428
Maximum12043
Range12030
Interquartile range (IQR)3652

Descriptive statistics

Standard deviation2436.373373
Coefficient of variation (CV)0.3838925982
Kurtosis-0.6035342272
Mean6346.49739
Median Absolute Deviation (MAD)1997
Skewness0.02422543629
Sum13372070
Variance5935915.211
MonotonicityNot monotonic
2022-11-10T19:38:53.640359image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
9428434
20.6%
6442245
11.6%
5292243
11.5%
3414203
 
9.6%
6502174
 
8.3%
260779
 
3.7%
594461
 
2.9%
444559
 
2.8%
725248
 
2.3%
505747
 
2.2%
Other values (34)514
24.4%
ValueCountFrequency (%)
133
 
0.1%
1892
 
0.1%
27910
0.5%
86520
0.9%
16554
 
0.2%
17126
 
0.3%
20413
 
0.1%
211310
0.5%
23085
 
0.2%
25867
 
0.3%
ValueCountFrequency (%)
120435
 
0.2%
1186240
 
1.9%
101978
 
0.4%
9428434
20.6%
923510
 
0.5%
922828
 
1.3%
869133
 
1.6%
853618
 
0.9%
840816
 
0.8%
801017
 
0.8%

median_value_2015
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164850.0712
Minimum0
Maximum310000
Zeros10
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:53.805634image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile82800
Q197100
median176800
Q3203700
95-th percentile255100
Maximum310000
Range310000
Interquartile range (IQR)106600

Descriptive statistics

Standard deviation66236.40855
Coefficient of variation (CV)0.4017978765
Kurtosis-1.201567415
Mean164850.0712
Median Absolute Deviation (MAD)74000
Skewness0.001259986429
Sum347339100
Variance4387261817
MonotonicityNot monotonic
2022-11-10T19:38:53.975157image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
203700434
20.6%
254700245
11.6%
97100243
11.5%
102800203
 
9.6%
176800174
 
8.3%
8640079
 
3.7%
26950061
 
2.9%
21120059
 
2.8%
8460048
 
2.3%
5750047
 
2.2%
Other values (34)514
24.4%
ValueCountFrequency (%)
010
 
0.5%
5420020
 
0.9%
5750047
2.2%
7900015
 
0.7%
8030010
 
0.5%
8280047
2.2%
8460048
2.3%
8640079
3.7%
8650016
 
0.8%
930008
 
0.4%
ValueCountFrequency (%)
31000011
 
0.5%
3020004
 
0.2%
30160010
 
0.5%
26950061
 
2.9%
2645006
 
0.3%
25760010
 
0.5%
25510013
 
0.6%
254700245
11.6%
23960022
 
1.0%
22020024
 
1.1%

median_monthly_costs_2015
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1441.24205
Minimum0
Maximum2346
Zeros10
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:54.229112image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile999
Q11200
median1452
Q31575
95-th percentile1975
Maximum2346
Range2346
Interquartile range (IQR)375

Descriptive statistics

Standard deviation334.7007157
Coefficient of variation (CV)0.2322307455
Kurtosis0.7317620013
Mean1441.24205
Median Absolute Deviation (MAD)238
Skewness-0.04525800612
Sum3036697
Variance112024.5691
MonotonicityNot monotonic
2022-11-10T19:38:54.367991image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1554434
20.6%
1975245
11.6%
1214243
11.5%
1120203
 
9.6%
1449174
 
8.3%
120079
 
3.7%
187961
 
2.9%
157559
 
2.8%
103948
 
2.3%
85347
 
2.2%
Other values (34)514
24.4%
ValueCountFrequency (%)
010
 
0.5%
77420
0.9%
85347
2.2%
99316
 
0.8%
99915
 
0.7%
102010
 
0.5%
103948
2.3%
106247
2.2%
108717
 
0.8%
111228
1.3%
ValueCountFrequency (%)
234610
 
0.5%
218711
 
0.5%
21644
 
0.2%
214913
 
0.6%
20376
 
0.3%
1975245
11.6%
187961
 
2.9%
181622
 
1.0%
172010
 
0.5%
17055
 
0.2%

median_rent_2015
Real number (ℝ≥0)

HIGH CORRELATION

Distinct43
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean838.9159943
Minimum599
Maximum1289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:54.512750image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum599
5-th percentile690
Q1795
median854
Q3861
95-th percentile994
Maximum1289
Range690
Interquartile range (IQR)66

Descriptive statistics

Standard deviation96.85159669
Coefficient of variation (CV)0.1154485042
Kurtosis1.484050833
Mean838.9159943
Median Absolute Deviation (MAD)33
Skewness0.0453950055
Sum1767596
Variance9380.231781
MonotonicityNot monotonic
2022-11-10T19:38:54.653625image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
858434
20.6%
920245
11.6%
854243
11.5%
690203
 
9.6%
851174
 
8.3%
62379
 
3.7%
86161
 
2.9%
82359
 
2.8%
82148
 
2.3%
79547
 
2.2%
Other values (33)514
24.4%
ValueCountFrequency (%)
59910
 
0.5%
62379
 
3.7%
67816
 
0.8%
690203
9.6%
71920
 
0.9%
73415
 
0.7%
7378
 
0.4%
76247
 
2.2%
76340
 
1.9%
77128
 
1.3%
ValueCountFrequency (%)
12892
 
0.1%
121810
 
0.5%
111111
 
0.5%
10833
 
0.1%
107213
 
0.6%
10304
 
0.2%
101827
1.3%
100924
1.1%
99433
1.6%
98537
1.8%

median_household_income_2020
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53148.78405
Minimum14455
Maximum135179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:54.797801image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum14455
5-th percentile34884
Q136418
median56332
Q364368
95-th percentile84363
Maximum135179
Range120724
Interquartile range (IQR)27950

Descriptive statistics

Standard deviation18816.70333
Coefficient of variation (CV)0.3540382656
Kurtosis1.632643257
Mean53148.78405
Median Absolute Deviation (MAD)15773
Skewness0.9812547724
Sum111984488
Variance354068324
MonotonicityNot monotonic
2022-11-10T19:38:54.940664image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
34884434
20.6%
64368245
11.6%
59082243
11.5%
40559203
 
9.6%
56332174
 
8.3%
3641879
 
3.7%
6632661
 
2.9%
7683159
 
2.8%
5058248
 
2.3%
2861047
 
2.2%
Other values (34)514
24.4%
ValueCountFrequency (%)
1445520
 
0.9%
1910710
 
0.5%
2861047
 
2.2%
34884434
20.6%
3641879
 
3.7%
3903816
 
0.8%
4017247
 
2.2%
4035310
 
0.5%
40559203
9.6%
4129215
 
0.7%
ValueCountFrequency (%)
1351794
 
0.2%
1336436
 
0.3%
11994710
0.5%
11125011
0.5%
1074005
 
0.2%
9623322
1.0%
9395324
1.1%
9305613
0.6%
930369
 
0.4%
843637
 
0.3%

median_family_income_2020
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct43
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68571.77266
Minimum0
Maximum150008
Zeros23
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:55.089590image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35137
Q147014
median63346
Q392708
95-th percentile119688
Maximum150008
Range150008
Interquartile range (IQR)45694

Descriptive statistics

Standard deviation28820.1659
Coefficient of variation (CV)0.420291977
Kurtosis0.1810634908
Mean68571.77266
Median Absolute Deviation (MAD)17115
Skewness0.7350984538
Sum144480725
Variance830601962.4
MonotonicityNot monotonic
2022-11-10T19:38:55.213115image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
47014434
20.6%
92708245
11.6%
63346243
11.5%
44420203
 
9.6%
80461174
 
8.3%
3513779
 
3.7%
14416761
 
2.9%
10154459
 
2.8%
6229848
 
2.3%
4869047
 
2.2%
Other values (33)514
24.4%
ValueCountFrequency (%)
023
 
1.1%
3201047
 
2.2%
3229210
 
0.5%
3513779
 
3.7%
44420203
9.6%
4501016
 
0.8%
4607210
 
0.5%
47014434
20.6%
472218
 
0.4%
4762415
 
0.7%
ValueCountFrequency (%)
1500084
 
0.2%
14849510
 
0.5%
1442046
 
0.3%
14416761
2.9%
13384811
 
0.5%
12297013
 
0.6%
11968822
 
1.0%
11425824
 
1.1%
11366610
 
0.5%
1135405
 
0.2%

median_household_income_2015
Real number (ℝ≥0)

HIGH CORRELATION

Distinct43
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42337.00712
Minimum16326
Maximum115542
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:55.361390image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum16326
5-th percentile21083
Q125322
median43810
Q352178
95-th percentile75008
Maximum115542
Range99216
Interquartile range (IQR)26856

Descriptive statistics

Standard deviation17512.71802
Coefficient of variation (CV)0.4136503549
Kurtosis1.464837767
Mean42337.00712
Median Absolute Deviation (MAD)13319
Skewness1.106515553
Sum89204074
Variance306695292.5
MonotonicityNot monotonic
2022-11-10T19:38:55.508111image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
25322434
20.6%
52178245
11.6%
43810243
11.5%
30491203
 
9.6%
45152174
 
8.3%
2090479
 
3.7%
5808061
 
2.9%
6528859
 
2.8%
3884248
 
2.3%
3347347
 
2.2%
Other values (33)514
24.4%
ValueCountFrequency (%)
1632610
 
0.5%
2090479
 
3.7%
2108320
 
0.9%
2371047
 
2.2%
25322434
20.6%
2916715
 
0.7%
30491203
9.6%
3347347
 
2.2%
3348716
 
0.8%
3448310
 
0.5%
ValueCountFrequency (%)
1155424
 
0.2%
10976410
 
0.5%
1059776
 
0.3%
9802311
 
0.5%
8715818
0.9%
8509522
1.0%
819492
 
0.1%
770139
 
0.4%
7619024
1.1%
7225033
1.6%

median_family_income_2015
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64256.22449
Minimum20208
Maximum147702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:55.651386image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum20208
5-th percentile21750
Q144618
median51458
Q388824
95-th percentile125239
Maximum147702
Range127494
Interquartile range (IQR)44206

Descriptive statistics

Standard deviation31859.43165
Coefficient of variation (CV)0.4958186059
Kurtosis-0.5846984325
Mean64256.22449
Median Absolute Deviation (MAD)18615
Skewness0.7579084398
Sum135387865
Variance1015023385
MonotonicityNot monotonic
2022-11-10T19:38:55.802127image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
51458434
20.6%
125239245
11.6%
44618243
11.5%
32843203
 
9.6%
72263174
 
8.3%
2020879
 
3.7%
10409861
 
2.9%
9217559
 
2.8%
4500648
 
2.3%
2525347
 
2.2%
Other values (34)514
24.4%
ValueCountFrequency (%)
2020879
 
3.7%
2121520
 
0.9%
2175010
 
0.5%
2525347
 
2.2%
32843203
9.6%
3702015
 
0.7%
3780128
 
1.3%
3880710
 
0.5%
3933716
 
0.8%
4001047
 
2.2%
ValueCountFrequency (%)
14770210
 
0.5%
1298044
 
0.2%
125239245
11.6%
11251811
 
0.5%
1122766
 
0.3%
10582413
 
0.6%
10545022
 
1.0%
10409861
 
2.9%
964755
 
0.2%
9593824
 
1.1%

zipcount
Real number (ℝ≥0)

HIGH CORRELATION

Distinct33
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.2017086
Minimum2
Maximum434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2022-11-10T19:38:55.945445image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10
Q147
median203
Q3245
95-th percentile434
Maximum434
Range432
Interquartile range (IQR)198

Descriptive statistics

Standard deviation148.5859932
Coefficient of variation (CV)0.7651116681
Kurtosis-1.067712342
Mean194.2017086
Median Absolute Deviation (MAD)144
Skewness0.3985372298
Sum409183
Variance22077.79738
MonotonicityNot monotonic
2022-11-10T19:38:56.073606image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
434434
20.6%
245245
11.6%
243243
11.5%
203203
9.6%
174174
 
8.3%
4794
 
4.5%
7979
 
3.7%
6161
 
2.9%
5959
 
2.8%
1050
 
2.4%
Other values (23)465
22.1%
ValueCountFrequency (%)
22
 
0.1%
36
 
0.3%
44
 
0.2%
510
 
0.5%
612
 
0.6%
714
 
0.7%
816
 
0.8%
99
 
0.4%
1050
2.4%
1111
 
0.5%
ValueCountFrequency (%)
434434
20.6%
245245
11.6%
243243
11.5%
203203
9.6%
174174
8.3%
7979
 
3.7%
6161
 
2.9%
5959
 
2.8%
4848
 
2.3%
4794
 
4.5%

class
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
0
866 
2
741 
1
500 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2107
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row0
4th row2
5th row2

Common Values

ValueCountFrequency (%)
0866
41.1%
2741
35.2%
1500
23.7%

Length

2022-11-10T19:38:56.195962image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-11-10T19:38:56.321515image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
ValueCountFrequency (%)
0866
41.1%
2741
35.2%
1500
23.7%

Most occurring characters

ValueCountFrequency (%)
0866
41.1%
2741
35.2%
1500
23.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number2107
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0866
41.1%
2741
35.2%
1500
23.7%

Most occurring scripts

ValueCountFrequency (%)
Common2107
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0866
41.1%
2741
35.2%
1500
23.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII2107
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0866
41.1%
2741
35.2%
1500
23.7%

Interactions

2022-11-10T19:38:41.750500image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:36:29.347767image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:36:33.794450image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:36:37.986301image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:36:41.962442image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:36:45.952381image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:36:49.857281image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:36:54.271837image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:36:58.699466image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:02.764966image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:06.710194image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:11.208823image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:15.398438image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:20.964977image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:26.800715image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:31.506175image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
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2022-11-10T19:38:45.443391image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:36:33.664788image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:36:37.846484image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:36:41.835499image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:36:45.829764image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:36:49.735971image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:36:54.087709image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:36:58.571990image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:02.638105image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:06.585546image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:11.080020image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:15.255667image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:20.808019image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:26.636492image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:31.333094image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:36.327703image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:42.281605image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:47.651989image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:52.931586image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:37:57.995021image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:38:02.747402image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:38:07.973912image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:38:13.101346image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:38:18.075559image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:38:22.591164image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:38:27.659153image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:38:32.088159image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:38:36.124637image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-11-10T19:38:41.614544image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Correlations

2022-11-10T19:38:56.478221image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Auto

The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.
2022-11-10T19:38:56.916026image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-11-10T19:38:57.435896image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-11-10T19:38:57.973292image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-11-10T19:38:58.445214image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.
2022-11-10T19:38:58.642702image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-11-10T19:38:45.721119image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
A simple visualization of nullity by column.
2022-11-10T19:38:47.192184image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

latitudelongituderoom_typepricezipcodezcta_housing_2020total_units_2020occupied_units_2020vacant_units_2020median_rooms_2020owner_occupied_units_2020rental_occupied_units_2020median_value_2020median_monthly_costs_2020median_rent_2020five_year_difftotal_units_2015occupied_units_2015vacant_units_2015median_rooms_2015owner_occupied_units_2015rental_occupied_units_2015median_value_2015median_monthly_costs_2015median_rent_2015median_household_income_2020median_family_income_2020median_household_income_2015median_family_income_2015zipcountclass
039.98394-83.00321121343201432011528113106.021754.4221510891258900.01747.0109455200.015115.011508.03607.04.62080.09428.0203700.01554.0858.034884.047014.025322.051458.04342
140.01243-83.00986029432024320297258889.08364.927126177246800.01613.097670000.010551.09707.0844.05.13205.06502.0176800.01449.0851.056332.080461.045152.072263.01742
239.96086-82.979680100432054320573665510.018565.619493561211600.01492.0755108800.07271.05205.02066.05.71791.03414.0102800.01120.0690.040559.044420.030491.032843.02030
340.01259-83.00164037432024320297258889.08364.927126177246800.01613.097670000.010551.09707.0844.05.13205.06502.0176800.01449.0851.056332.080461.045152.072263.01742
440.01259-83.00164072432024320297258889.08364.927126177246800.01613.097670000.010551.09707.0844.05.13205.06502.0176800.01449.0851.056332.080461.045152.072263.01742
539.95223-82.9955711934321543215107919609.011823.318917718324000.01975.0121569300.09281.08170.01111.03.31728.06442.0254700.01975.0920.064368.092708.052178.0125239.02451
640.03828-83.0183808543214432141380612682.011245.680974585285800.01730.099874600.013162.012323.0839.05.87878.04445.0211200.01575.0823.076831.0101544.065288.092175.0591
739.94700-82.99074124143206432061227410435.018395.450605375197400.01441.0994100300.012275.09783.02492.05.54491.05292.097100.01214.0854.059082.063346.043810.044618.02430
840.03689-83.0183008543214432141380612682.011245.680974585285800.01730.099874600.013162.012323.0839.05.87878.04445.0211200.01575.0823.076831.0101544.065288.092175.0591
940.01259-83.00164040432024320297258889.08364.927126177246800.01613.097670000.010551.09707.0844.05.13205.06502.0176800.01449.0851.056332.080461.045152.072263.01742

Last rows

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209740.015440-82.966040113043224432241895017585.013655.083249261103200.0983.082716700.018876.016274.02602.05.07866.08408.086500.0993.0678.039038.045010.033487.039337.0160
209840.091990-83.12381018443017430171622815377.08517.1104874890371000.02461.0124361000.014865.014255.0610.07.410315.03940.0310000.02187.01111.0111250.0133848.098023.0112518.0111
209940.152940-83.003920193430354303595089094.04147.673651729338600.02311.0121774100.09028.08695.0333.07.36983.01712.0264500.02037.0951.0133643.0144204.0105977.0112276.061
210039.963910-83.0025101534321543215107919609.011823.318917718324000.01975.0121569300.09281.08170.01111.03.31728.06442.0254700.01975.0920.064368.092708.052178.0125239.02451
210139.965710-83.0034701534321543215107919609.011823.318917718324000.01975.0121569300.09281.08170.01111.03.31728.06442.0254700.01975.0920.064368.092708.052178.0125239.02451
210239.979890-83.0015701754321543215107919609.011823.318917718324000.01975.0121569300.09281.08170.01111.03.31728.06442.0254700.01975.0920.064368.092708.052178.0125239.02451
210339.943780-82.98422017543206432061227410435.018395.450605375197400.01441.0994100300.012275.09783.02492.05.54491.05292.097100.01214.0854.059082.063346.043810.044618.02430
210439.964276-82.99777911184321543215107919609.011823.318917718324000.01975.0121569300.09281.08170.01111.03.31728.06442.0254700.01975.0920.064368.092708.052178.0125239.02451
210540.008060-83.00247005243201432011528113106.021754.4221510891258900.01747.0109455200.015115.011508.03607.04.62080.09428.0203700.01554.0858.034884.047014.025322.051458.04342
210640.005850-83.00127005143201432011528113106.021754.4221510891258900.01747.0109455200.015115.011508.03607.04.62080.09428.0203700.01554.0858.034884.047014.025322.051458.04342

Duplicate rows

Most frequently occurring

latitudelongituderoom_typepricezipcodezcta_housing_2020total_units_2020occupied_units_2020vacant_units_2020median_rooms_2020owner_occupied_units_2020rental_occupied_units_2020median_value_2020median_monthly_costs_2020median_rent_2020five_year_difftotal_units_2015occupied_units_2015vacant_units_2015median_rooms_2015owner_occupied_units_2015rental_occupied_units_2015median_value_2015median_monthly_costs_2015median_rent_2015median_household_income_2020median_family_income_2020median_household_income_2015median_family_income_2015zipcountclass# duplicates
239.958565-83.01494611154321543215107919609.011823.318917718324000.01975.0121569300.09281.08170.01111.03.31728.06442.0254700.01975.0920.064368.092708.052178.0125239.024514
439.964275-82.99778011184321543215107919609.011823.318917718324000.01975.0121569300.09281.08170.01111.03.31728.06442.0254700.01975.0920.064368.092708.052178.0125239.024513
039.957910-82.99995011424321543215107919609.011823.318917718324000.01975.0121569300.09281.08170.01111.03.31728.06442.0254700.01975.0920.064368.092708.052178.0125239.024512
139.958040-82.952640184432054320573665510.018565.619493561211600.01492.0755108800.07271.05205.02066.05.71791.03414.0102800.01120.0690.040559.044420.030491.032843.020302
339.963681-82.9846371624321543215107919609.011823.318917718324000.01975.0121569300.09281.08170.01111.03.31728.06442.0254700.01975.0920.064368.092708.052178.0125239.024512
539.964275-82.99778011894321543215107919609.011823.318917718324000.01975.0121569300.09281.08170.01111.03.31728.06442.0254700.01975.0920.064368.092708.052178.0125239.024512
640.007015-83.00152505343201432011528113106.021754.4221510891258900.01747.0109455200.015115.011508.03607.04.62080.09428.0203700.01554.0858.034884.047014.025322.051458.043422
740.009056-83.000824053432024320297258889.08364.927126177246800.01613.097670000.010551.09707.0844.05.13205.06502.0176800.01449.0851.056332.080461.045152.072263.017422
840.021460-83.034480078432024320297258889.08364.927126177246800.01613.097670000.010551.09707.0844.05.13205.06502.0176800.01449.0851.056332.080461.045152.072263.017422
940.064670-82.98839005443229432292259321343.012505.0849512848143000.01232.087923000.022243.020011.02232.05.18149.011862.0120000.01201.0763.044804.051324.038004.045185.04002